Answer Posted / Umesh Kumar Kushwaha
To build and evaluate a random forest in R, follow these steps:
1. Install and load the randomForest package (if not already installed).
2. Split your data into training and testing sets.
3. Train the model using the `randomForest()` function: `random_forest_model <- randomForest(dependent_variable ~ independent_variables, data = training_data)`.
4. Predict on the test set with `predict()`: `predictions <- predict(random_forest_model, newdata = testing_data)`.
5. Evaluate the performance of the model using appropriate metrics (e.g., accuracy, AUC-ROC).
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